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The complex nature of the mechanisms behind cardiovascular diseases prevents the detection of latent early risk conditions. Network representations are ideally suited to investigate the complex interconnections between the individual components of a biological system underlying complex diseases. Her...
2015-01-01 | MTBLS147 | MetaboLights
We provide a model of glycolysis and TCA cycle in cancers in which IDH is encountered both in its wild type form as well as mutated and capable of catalyzing an onco-metabolite. The model is constructed using the Probabilistic Symbolic Model Checker (PRISM,https://www.prismmodelchecker.org/) specifi...
2022-07-18 | MODEL2207180001 | BioModels
Continuous-trait probabilistic model for comparing multi-species functional genomic data
Preterm birth (PTB) is a leading global cause of infant mortality. Risk factors include genetics, lifestyle choices and infection. Understanding the mechanism of PTB could aid the development of novel approaches to prevent PTB. This study aimed to investigate the metabolic biomarkers of PTB in early...
2023-05-24 | MTBLS1990 | MetaboLights
VIPR: A probabilistic algorithm for analysis of microbial detection microarrays
Gene transcription mediated by RNA polymerase II (pol-II) is a key step in gene expression. The dynamics of pol-II moving along the transcribed region influences the rate and timing of gene expression. In this work we present a probabilistic model of transcription dynamics which is f...
ORGANISM(S): Homo sapiens 
Results We compared MetaNovo to published results from the MetaPro-IQ pipeline on 8 human mucosal-luminal interface samples, with comparable numbers of peptide and protein identifications, many shared peptide sequences and a similar bacterial taxonomic distribution compared to that found using a ma...
ORGANISM(S): human gut metagenome 
2023-05-16 | PXD030708 | Pride
We present Epiclomal, a probabilistic clustering method arising from a hierarchical mixture model to simultaneously cluster sparse single-cell DNA methylation data and infer their corresponding hidden methylation profiles. Using synthetic and published single-cell CpG datasets we show that Epiclomal...
We developed a probabilistic method to simultaneously infer genome-wide heterogeneous evolutionary states. We applied the proposed method to analyze a cross-species DNA replication timing (RT) dataset from the same cell type in five primate species. We demonstrated that the proposed model enables di...
ORGANISM(S): Nomascus leucogenys Pan troglodytes Pongo pygmaeus Chlorocebus aethiops Homo sapiens 
2018-06-20 | GSE111733 | GEO
A probabilistic framework for cellular lineage reconstruction using integrated single-cell 5-hydroxymethylcytosine and genomic DNA sequencing
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